Association Between Health Behaviors and Family History of Cancer According to Sex in the General Population

Hwang, Minji; Zhang, Hyun-Soo; Park, Bo-Young

doi:10.1016/j.amepre.2018.10.017

Cited by 5 publications

(10 citation statements)

References 42 publications

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“…Four studies assessed self‐reported FHC in first‐degree relatives, 8,13‐15 two studies assessed FHC in first and second‐degree relatives, 16,17 the other three studies applied other definitions of family (close family members, 5 any family members, 18 or grandparents, parents, or siblings 7 ). Some of the surveys included only participants without a personal history of cancer 5,7,8,13,17 . In two studies, FHC was assessed by mailed questionnaires 7,8 the other studies used telephone or personal interviews.…”

Section: Resultsmentioning

confidence: 99%

“…5,7,8,14,15,17 The same is true for the study from South Korea. 13 Only two studies from Asia differed in their results: In the study from China there is no gender difference in self-reported FHC 18 and the study from Iran suggested higher odds of men reporting a positive FHC. 16 The odds of men reporting a FHC is lower compared with women with an average OR of 0.84 [0.71; 1.00] across all studies.…”

Section: Reviewmentioning

confidence: 96%

“…The age range of participants differed between the studies (see Table 1). Four studies assessed self-reported FHC in first-degree relatives, 8,[13][14][15] two studies assessed FHC in first and second-degree relatives, 16,17 the other three studies applied other definitions of family (close family members, 5 any family members, 18 or grandparents, parents, or siblings 7 ). Some of the surveys included only participants without a personal history of cancer.…”

Section: Reviewmentioning

confidence: 99%

“…Some of the surveys included only participants without a personal history of cancer. 5,7,8,13,17 In two studies, FHC was assessed by mailed questionnaires 7,8 the other studies used telephone or personal interviews. In most studies, FHC was assessed by one question.…”

Section: Reviewmentioning

confidence: 99%

“…Up to now the evidence regarding gender differences in self‐reported FHC has not been systematically gathered and analyzed across studies. Moreover, several surveys present substantial gender differences in self‐reported FHC in their result tables without discussing them in the text 5,13‐15 . The goal of our research was to find out whether there is a systematic gender difference in self‐reported FHC by reviewing and analyzing data from population‐based community samples in which adult men and women were asked about their FHC.…”

Section: Introductionmentioning

confidence: 99%

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Gender differences in self‐reported family history of cancer: A review and secondary data analysis

et al. 2020

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Section: Resultsmentioning

confidence: 99%

Section: Reviewmentioning

confidence: 96%

Section: Reviewmentioning

confidence: 99%

Section: Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Gender differences in self‐reported family history of cancer: A review and secondary data analysis

et al. 2020

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Dental cleaning behavior and related factors among hemodialysis patients in the West of Iran: A cross‐sectional study

Fallahi

Hajimam²,

Rahmani

et al. 2023

Clinical & Exp Dental Res

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ObjectivesOral health‐related behaviors in hemodialysis patients are reduced, potentially leading to adverse consequences. The aim of the present study was to evaluate dental cleaning behavior (DCB) and related factors among hemodialysis patients.MethodsThis cross‐sectional study was carried out in Sanandaj city, in the west of Iran in 2022. Using the census method, 115 hemodialysis patients from the dialysis center of Tohid Hospital were recruited. Data were gathered by a three‐section questionnaire. The first section included demographic characteristics, the second section involved variables related to the health belief model (HBM), and the third section assessed stages of DCB change based on the trans‐theoretical model. Analysis of data was done by assessing frequency, descriptive and inferential statistics such as t test, correlation coefficient, and regression.ResultsOnly 26.1% of participants reported DCB, defined as tooth brushing at least twice daily; 30.4% were in the precontemplation stage, 26.1% in contemplation, and 17.4% in the preparation stage. Perceived self‐efficacy was lower among patients who did not perform DCB. The odds of DCB increased with perceived self‐efficacy (odds ratio [OR] = 1.51, 95% confidence interval [CI] = 1.19–1.92, p < .05), cues to action (OR = 1.63, 95% CI = 1.03–2.55, p < .05), and decreased with perceived barriers (OR = 0.68, 95% CI = 0.47–0.97, p < .01).ConclusionsDCB of patients on hemodialysis requires improvement. Perceived self‐efficacy, cues to action, and perceived barriers constructs of the HBM should be considered in interventional programs targeting to increase oral health as well as in future research in the field.

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Health Risk Behaviour Inventory Validation and its Association with Self-regulatory Dispositions

Monni

Scalas

2022

J Clin Psychol Med Settings

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Objective:We put forward a validation of the first instrument to measure the big four health risk behaviours (WHO, 2014) in a single assessment, the Health Risk Behaviour Inventory (HRBI) that assesses physical inactivity, unhealthy diet, smoking and alcohol in an Italian-and Englishspeaking sample. Further, we investigate the instrument's association with self-regulatory dispositions, exploring culture and gender differences in an Italian and US subgroup samples.Methods: Overall, 304 English-and 939 Italian-speaking participants completed the HRBI and the self-regulatory questionnaire. We explored the factorial structure, convergent validity, invariance and association with self-regulatory dispositions using structural equation modelling. Results:The HRBI has a robust factorial structure; it usefully converges with widely used healthy lifestyle measures, and it is invariant across the categories of age, gender and languages.Regarding self-regulatory dispositions, the promotion focus emerges as the most protective factor over physical inactivity, unhealthy diet, smoking and alcohol, whereas the prevention focus is associated mainly with smoking and alcohol reduction. Results are consistent across genders and US subgroup-Italian samples. Conclusions:The HRBI is a valid instrument for assessing the big four health risk behaviours in clinic and research contexts, and among self-regulatory measures, the promotion and prevention foci have the greatest efficacy in eliciting positive health behaviours.

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Association Between Health Behaviors and Family History of Cancer According to Sex in the General Population

Cited by 5 publications

References 42 publications

Gender differences in self‐reported family history of cancer: A review and secondary data analysis

Gender differences in self‐reported family history of cancer: A review and secondary data analysis

Dental cleaning behavior and related factors among hemodialysis patients in the West of Iran: A cross‐sectional study

Health Risk Behaviour Inventory Validation and its Association with Self-regulatory Dispositions

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